a generalisable integrated natural capital methodology for ... · saltmarsh • heavily exploited,...
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A generalisable integrated natural capital methodology for investments in saltmarsh
Katrina DavisLand, Environment, Economics & Policy Institute University of Exeter
EnvEcon – 9th March, 2018
@NRMecon
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Andrew Bell
North Devon UNESCO Biosphere
Ian Bateman
University of Exeter
Amy Binner
University of Exeter
Tara Hooper
Plymouth Marine
Laboratory
Melanie Austen
Plymouth Marine
Laboratory
Sian Rees
Plymouth University
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Where are priority areas for
managed realignment of
saltmarsh: maximise
ecosystem services &
minimise costs?
managed realignment
Previously claimed
intertidal habitats are
recreated
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Saltmarsh• Heavily exploited, threatened
ecosystem
• 50% lost worldwide (Barbier et al 2011)
• 76% loss in North Devon
Land
conversion
Land
reclamation
Agricultural
runoff
Pollution
Sea level
rise
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• Selective protection of ‘high value’ assets
• Sea level rise: 19 to 83 cm
by 2100 (IPCC 5)
• Abandoning ‘hold
the line’ defence
approach
• Maintain or expand
intertidal habitats
Why do we care about saltmarsh?
Adapted from NOAA
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Case study: North Devon Biosphere
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Current &
historic
saltmarsh
extent in
North Devon
Biosphere
Reserve
968 ha
231 ha
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What we did
1. Identify potential managed realignment saltmarsh
areas based on LIDAR
2. Estimate opportunity cost for agriculture
3. Estimate environmental benefits
4. Identify priority areas for managed realignment
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Identifying potential saltmarsh sites
Adapted from Boorman (2003)
Puccinellia maritima
Salicornia europaea
Plantago maritima
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Opportunity
i, j, t
Fisheries
nursery
z
Flood
prevention
i, j, t
Biodiversity/
habitat
i, j
i = spatial quantity (e.g. m2)
j = spatial characteristics (e.g. proximity to populated
areas)
z = saltmarsh zone
t = time
Still in development
Costs Benefits
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Potential managed realignment sites
Number 50
Average (ha) 10.5
Median (ha) 3.5
Min (ha) 0.5
Max (ha) 60.0
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Agricultural Land
Classification
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Opportunity cost to agriculture
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Environmental benefits: amenity & recreation
• Willingness to pay for managed realignment (Luisetti et al 2011)
• log(Area)
• Distance
• Environmental quality
• Access
• Cost
# households
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Spatial heterogeneity in WTP
8
15
23
32
Distance from managed
realignment site (miles)
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Aggregated willingness to pay for managed realignment sites
Use & non-use values• log(Area)
• Distance
• Environmental quality
• Access
• Cost
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Comparing opportunity cost and environmental benefits
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Priorities for realignment
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Findings
• Spatially heterogeneous benefits & costs
• Non-linear dynamics
• Future: regime model
• Insurance against a changing future
Thank you [email protected]
@NRMecon
@Leep_Institute
@SW_EEP